Web Scraping Engineer

Enterprise-grade web data infrastructure, purpose-built for organizations operating at global scale. It helped define what public web data access could look like and still sets the standard others build against. 
That same ambition runs through the culture: engineers take ownership of problems no one else has solved and push each other to raise the bar.

The team waiting for you:
The Web Intelligence team is responsible for building and delivering large-scale, custom datasets for clients who need end-to-end scraping solutions. As a Web Scraping Engineer, you will jump right into building high-scale crawlers and parsers, bringing strong Python or Go skills to our primarily data engineering-focused group. With a rapidly growing influx of project-based requests, we need someone who can take immediate ownership and leverage AI tools to build solutions from scratch. Your main challenge will be navigating a fast-paced environment where speed and delivery are prioritized over absolute perfection.In this role, you will:Design and build high-scale crawlers, scrapers, and the surrounding infrastructure capable of handling thousands to millions of requests.
Take client requirements and own projects end-to-end, building custom solutions from scratch without waiting for detailed specifications.
Write functional, reusable code in Python or Go, heavily leveraging AI-driven IDEs to maximize output and efficiency.
Work within our data platform to enable the seamless building and delivery of large datasets.
Use internal scraping tools or build new ones as priorities and client routes change.
Justify technical decisions, perform code reviews, and collaborate closely with the team to ensure quality solutions.Your skills & experiences:Multiple years of backend development experience with Python or Go (or strong web scraping expertise driven by AI tools).
Familiarity with web scraping fundamentals, parsing, headless browsers, and databases like PostgreSQL or BigQuery.
High level of independence—you can align on an approach in a discussion and then fully own the delivery.
A business-first mentality that prioritizes speed and delivery over perfection, with a "thick skin" for direct feedback.
Hands-on experience and a strong comfort level with AI-driven development tools (such as Cursor, Claude Code, or Antigravity).Nice to have:Experience in data engineering: ETL/ELT pipelines, Spark, Airflow, Dagster, etc.Tech stack:Python, Go
Databases: PostgreSQL, BigQuery
Hosting: Google Cloud, Hetzner, private cloud
Scraping tools: Playwright, internal APIs, Camoufox, headless browsers
Data Engineering: Airflow
AI tools: Claude Code, CursorSalary & Benefits
Oxylabs is part of Source, a data ecosystem for a world built on intelligence. One of five independent technology companies connected by shared standards, expertise, and a belief in responsible access to web data.